Hotel pricing management control system based on machine learning

CN119313368APending Publication Date: 2025-01-14李焯钏
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Patent Information

Application Number
CN202411129318.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-08-16
Publication Date
2025-01-14

AI Technical Summary

Technical Problem

Traditional hotel pricing strategies ignore real-time monitoring and analysis of competitor prices, resulting in the inability to quickly respond to market changes and consumer demand, affecting competitive advantages and customer loss.

Method used

Adopting machine learning-based hotel pricing management control system, we can automatically obtain competitor hotel prices, data analysis and display, machine learning to predict future occupancy rates and room rate revenue, and make real-time price adjustments based on the speed of self and competitor hotels. It is recommended to use the deep neural network model to optimize pricing strategies.

Benefits of technology

It improves the hotel's revenue and competitiveness, and optimizes pricing strategies through accurate data analysis and deep neural network algorithms to help hotels quickly respond to market changes and consumer demands, improving market competitiveness and profitability.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a hotel pricing management control system based on machine learning. The core function of the hotel pricing management control system is to provide intelligent pricing management service for the hotel industry. The system can monitor the room-in speed fluctuation of hotel rooms in real time, the room-in speed fluctuation serves as basic data, meanwhile, real-time pricing information of competitors in the market is referred to, big data analysis and artificial intelligence technologies are introduced, and through advanced algorithm analysis, the limitation of a traditional hotel management system on the pricing strategy is effectively solved, and the pricing efficiency of the hotel management system is improved. Generally, sales conditions and market trends of hotels, especially price changes of competitors, cannot be comprehensively considered. According to the invention, accurate pricing suggestions can be provided, strategies can be adjusted in real time according to market changes, and revenue maximization of hotels can be realized.
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Citation Information

Cited By

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